Botev Lukovit vs Lokomotiv Dryanovo: result 2-0 and analysis
Third League - NorthwestRegular Season - 13Kick-off on October 28, 2018 at 12:30 PM (UTC)Stadion Hristo Botev, Lukovit
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What was the result of Botev Lukovit vs Lokomotiv Dryanovo?
Botev Lukovit won 2-0 on October 28, 2018.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Botev Lukovit have 4 wins, 3 draws and 5 defeats; Lokomotiv Dryanovo have 1, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Spartak Pleven(away) | 0-2 | Third League - Northwest |
| Oct 14, 2018 | Yantra Polski Trambesh(home) | 0-1 | Third League - Northwest |
| Oct 11, 2018 | Kom Berkovitsa(away) | 0-3 | Third League - Northwest |
| Oct 7, 2018 | Vihar Slavyanovo(home) | 3-0 | Third League - Northwest |
| Sep 30, 2018 | Bdin(away) | 0-1 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2018 | Partizan(home) | 3-4 | Third League - Northwest |
| Oct 14, 2018 | Parva atomna(home) | 2-5 | Third League - Northwest |
| Oct 11, 2018 | Spartak Pleven(away) | 1-4 | Third League - Northwest |
| Oct 7, 2018 | Yantra Polski Trambesh(home) | 0-1 | Third League - Northwest |
| Sep 30, 2018 | Kom Berkovitsa(away) | 0-3 | Third League - Northwest |
How many goals should we expect?
Botev Lukovit score 1.2 and concede 1.1 goals per match over their last 12; Lokomotiv Dryanovo score 1.2 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botev Lukovit | 1.2 | 1.1 | 4 | 3/12 | 5/12 |
| Lokomotiv Dryanovo | 1.2 | 3.4 | 1 | 8/12 | 9/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Lokomotiv Dryanovo | 24 | 4 | 7 | 13 | 22 | 43 | 19 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy